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<![CDATA[PENINGKATAN KINERJA KOPERASI MELALUI PENDAMPINGAN MANAJEMEN KEUANGAN PADA KOPERASI 64 BAHARI SURABAYA ]]>
<![CDATA[Wasiaturrahma, Wasiaturrahma]]>;
<![CDATA[Sulistyowati, Chorry]]>;
<![CDATA[Heriyati, Dina]]>;
<![CDATA[Ajija, Shochrul Rohmatul]]>
<![CDATA[ Jurnal Berdaya Mandiri Vol 2, No 1 (2020): Jurnal Berdaya Mandiri (JBM) ]]>
Publisher : <![CDATA[Universitas PGRI Yogyakarta ]]>
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DOI: 10.31316/jbm.v2i1.354
<![CDATA[64 Bahari Cooperative, located in Kedung Cowek Sub-District, Kenjeran District, has a growing cooperative asset but the management is still having difficulty in preparing financial reports manually. The main agenda in this service program is to procure online-based Sharia cooperative accounting software for fishermen cooperatives. This can be done because the cooperative already has a laptop, most members already have an android mobile phone, and internet access is quite adequate because it is located in the Surabaya City area. In addition, online systems are considered cheaper than offline software because cooperatives do not need to incur server procurement costs that require large costs. Another advantage is that it can be accessed by members wherever and whenever. The result of this program is an increase in the ability of 64 Bahari Cooperative managers to make financial reports independently.]]>
<![CDATA[Impact of Exchange Rate Volatility to Stocks’ Return in Indonesia: The Augmented Markov-Switching Egarch Approach ]]>
<![CDATA[Wasiaturrahma, Wasiaturrahma]]>;
<![CDATA[Putri, Dita Normalaksana]]>;
<![CDATA[Ajija, Shochrul Rohmatul]]>
<![CDATA[ Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan Vol 21, No 2 (2020): JEP 2020 ]]>
Publisher : <![CDATA[Muhammadiyah University Press ]]>
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DOI: 10.23917/jep.v21i2.8781
<![CDATA[The stock price is one indicator that represents the economic performance in a country. Changes in stock prices, including various factors, as an example, is the exchange rate changes as the representation from the foreign exchange market. The fluctuating exchange rate price also influences the volatility of the stock price. Furthermore, volatility has different high and low regime stages that will cause a disparate impact on the outcome of the relationship changes. This study aims to examine the presence of asymmetric volatility and its effects on the volatility of LQ45 stock returns, as well as the changes in exchange rates of Rupiah against USD from 1997 to 2017. Using the Augmented Markov Switching EGARCH approach, the results of this study indicate an asymmetric behavior in the volatility of LQ45 stock returns. High volatility regimes are more dependent and more unstable than low volatility regimes, and low volatility regimes dominate the duration compared to the high volatility regime. The good and bad news give different impact on LQ45 stock return volatility and exchange rate changes. Moreover, the unstable economies will respond faster than the stable economies in terms of facing the exchange rate changes.]]>
<![CDATA[Multicollinearity in Tourism Demand Model : Evidence from Indonesia ]]>
<![CDATA[Wasiaturrahma, Wasiaturrahma]]>;
<![CDATA[Rohmawati, Hilda]]>
<![CDATA[ Economics Development Analysis Journal Vol 10 No 1 (2021): Economics Development Analysis Journal ]]>
Publisher : <![CDATA[Economics Development Department, Universitas Negeri Semarang, Indonesia ]]>
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DOI: 10.15294/edaj.v10i1.42078
<![CDATA[The demand for tourism in Indonesia continues to increase every year but cannot reach thepredetermined target. Studies on tourism demand have been done a lot, especially in Indonesia.The selection of the dependent variable in tourism demand is not problematic and acceptable,however, the selection of the independent variable is still unclear. This study aims to provide anappropriate Indonesian tourism demand model and analyze the determinants of tourism demandin Indonesia. The estimation technique used is a static panel regression. The results of this studyprove that there is multicollinearity in the tourism demand model when exchange rate and relativeprice are combined into one model, showing that relative price are good proxies in representingtourism price, and showing that substitution price are the main determinants of tourism demand inIndonesia. The policy implications recommended in this study are monitoring the economicgrowth of the origin countries of most tourists visiting Indonesia, improving the qual ity ofIndonesian tourism, and developing the Wonderful Indonesia program.]]>
<![CDATA[Multicollinearity in Tourism Demand Model : Evidence from Indonesia ]]>
<![CDATA[Wasiaturrahma, Wasiaturrahma]]>;
<![CDATA[Rohmawati, Hilda]]>
<![CDATA[ Economics Development Analysis Journal Vol 10 No 1 (2021): Economics Development Analysis Journal ]]>
Publisher : <![CDATA[Economics Development Department, Universitas Negeri Semarang, Indonesia ]]>
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DOI: 10.15294/edaj.v10i1.42078
<![CDATA[The demand for tourism in Indonesia continues to increase every year but cannot reach thepredetermined target. Studies on tourism demand have been done a lot, especially in Indonesia.The selection of the dependent variable in tourism demand is not problematic and acceptable,however, the selection of the independent variable is still unclear. This study aims to provide anappropriate Indonesian tourism demand model and analyze the determinants of tourism demandin Indonesia. The estimation technique used is a static panel regression. The results of this studyprove that there is multicollinearity in the tourism demand model when exchange rate and relativeprice are combined into one model, showing that relative price are good proxies in representingtourism price, and showing that substitution price are the main determinants of tourism demand inIndonesia. The policy implications recommended in this study are monitoring the economicgrowth of the origin countries of most tourists visiting Indonesia, improving the qual ity ofIndonesian tourism, and developing the Wonderful Indonesia program.]]>
<![CDATA[Analysis of International Tourism Demand in Indonesia: An Ordinary Least Square (OLS) Approach ]]>
<![CDATA[Wasiaturrahma, Wasiaturrahma]]>;
<![CDATA[Rohmawati, Hilda]]>
<![CDATA[ Journal of Economic Education Vol 10 No 2 (2021): December 2021 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/jeec.v10i2.52209
<![CDATA[The demand for tourism in Indonesia which continues to increase every year is actually still not able to reach the predetermined target. In the Other hand there is still no research comparing proxies for calculating tourism prices (exchange rates and relative prices) in one study. The calculation of substitution prices for each of the countries studied tends to be the same. But each country has different characteristics and different tastes, so the country of substitution must be distinguished for each country. This study analyzes the demand for international tourism in Indonesia with 106 countries visiting Indonesia the most. The data used in this study is cross section data in 2018. The analytical technique used in this study is OLS. This study uses two models, namely model 1 using relative prices as a proxy for tourism prices and model 2 using exchange rates with cross exchange rate calculations as proxies for calculating tourism prices. Relative price is considered a suitable variable to be used as a proxy for calculating tourism prices because it takes into account the CPI for each country. The model that includes the relative price variable also has a higher goodness of fit, so the relative price can be used as a proxy for tourism prices]]>
<![CDATA[Financial Deepening and Economic Growth in Indonesia ]]>
<![CDATA[Wasiaturrahma -]]>;
<![CDATA[Shochrul Rohmatul Ajija]]>;
<![CDATA[Ramses Muhammad Rizal]]>
<![CDATA[ MediaTrend Vol 14, No 1 (2019): Maret ]]>
Publisher : <![CDATA[Trunojoyo University of Madura ]]>
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DOI: 10.21107/mediatrend.v14i1.4552
<![CDATA[The purpose of this study is to analyze the impact of financial deepening on economic growth in Indonesia. The time period studied for this research is from 1975 until2016. This study uses a quantitative research approach in the form of statistics and econometrics regression data. The data used is based on the annual time series data from 1975 until 2016. In this research, two models of testing are used, namely ARDL (Autoregressive Distributed Lag) and ECM (Error Correction Model). The results of this study indicate that financial deepening has a significant negative impact on economic growth in Indonesia. The Broad Money, Government Expenditure and Trade Openness variables influenced the variables of economic growth simultaneously in the period 1975-2016, but only the GDP and Trade openness variables had a significant influence on the dependent variable of GDP during the researched period. Therefore, Bank Indonesia (BI) needs to conduct further research on Broad Money trading (M2) so that the function of economic depth can encourage the growth of GDP Indonesia. In addition, there is a need for policies that will stimulate and facilitate foreign and domestic companies to sell their shares on BEI (Indonesian stock exchange) so that they can be traded by people whose impact will increase Indonesia's economic growth.]]>
<![CDATA[Dampak shock kebijakan moneter terhadap ketimpangan pendapatan di Indonesia ]]>
<![CDATA[meylinda sulfiana putri]]>;
<![CDATA[Wasiaturrahma Wasiaturrahma]]>
<![CDATA[ MediaTrend Vol 14, No 2 (2019): OKTOBER ]]>
Publisher : <![CDATA[Trunojoyo University of Madura ]]>
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DOI: 10.21107/mediatrend.v14i2.5133
<![CDATA[Households have different sources of income, and the heterogeneity of income will make the interest rates from monetary policy have a different impact because the effect of redistribution so that it will eventually cause the differences in income distribution. The channel of monetary policy redistribution shows how the transmission mechanism of monetary policy affect income distribution and eventually have an impact on income inequality. This study aims to find out and analyze the impact of monetary policy on income inequality in Indonesia in 1995Q1 – 2017Q4 and examine one of the channels of the transmission mechanism that is income composition channel. The analytical method used is Vector Error Correction Model, this is based on the existence of a cointegration relationship in the analysis model used. The results of the study show that contractionary monetary policy by raising interest rates can increase income inequality both in the short term and long term and on the contrary expansive monetary policy can reduce income inequality. Expansive monetary policy can encourage economic activity, reduce unemployment and increase income especially for low-income households, so that this condition can produce a better income distribution.]]>
<![CDATA[Impact of Exchange Rate Volatility to Stocks’ Return in Indonesia: The Augmented Markov-Switching Egarch Approach ]]>
<![CDATA[Wasiaturrahma Wasiaturrahma]]>;
<![CDATA[Dita Normalaksana Putri]]>;
<![CDATA[Shochrul Rohmatul Ajija]]>
<![CDATA[ Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan Vol 21, No 2 (2020): JEP 2020 ]]>
Publisher : <![CDATA[Muhammadiyah University Press ]]>
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DOI: 10.23917/jep.v21i2.8781
<![CDATA[The stock price is one indicator that represents the economic performance in a country. Changes in stock prices, including various factors, as an example, is the exchange rate changes as the representation from the foreign exchange market. The fluctuating exchange rate price also influences the volatility of the stock price. Furthermore, volatility has different high and low regime stages that will cause a disparate impact on the outcome of the relationship changes. This study aims to examine the presence of asymmetric volatility and its effects on the volatility of LQ45 stock returns, as well as the changes in exchange rates of Rupiah against USD from 1997 to 2017. Using the Augmented Markov Switching EGARCH approach, the results of this study indicate an asymmetric behavior in the volatility of LQ45 stock returns. High volatility regimes are more dependent and more unstable than low volatility regimes, and low volatility regimes dominate the duration compared to the high volatility regime. The good and bad news give different impact on LQ45 stock return volatility and exchange rate changes. Moreover, the unstable economies will respond faster than the stable economies in terms of facing the exchange rate changes.]]>
<![CDATA[Non cash payment and demand for real money in Indonesia ]]>
<![CDATA[Wasiaturrahma Wasiaturrahma]]>;
<![CDATA[Yuliana Tri Wahyuningtyas]]>;
<![CDATA[Shochrul Rohmatul Ajija]]>
<![CDATA[ Journal of Economics, Business, & Accountancy Ventura Vol 22, No 1 (2019): April - July 2019 ]]>
Publisher : <![CDATA[STIE Perbanas Surabaya ]]>
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DOI: 10.14414/jebav.v22i1.1575
<![CDATA[Non-cash payments in Indonesia are currently developing rapidly. The development of the form of money from just paper money and coins into an electronic money is predicted to have an effect on real money demand, not only in Indonesia. The use of electronic money in Indonesia itself continues to increase especially supported by technological developments. The purpose of this study was to analyse the effect of non-cash payments on real money demand in Indonesia. The method used is Error Correction Model (ECM) using secondary data from 2010 to 2015. The independent variable is the amount of money circulated by Bank Indonesia, and the independent variables used are the value of debit / ATM card transactions, credit cards, and e -money. The results indicate that in the long run credit cards have a significant negative effect on cash circulation in the community, while debit cards have a significant positive effect and affect cash. While in the short term, credit cards and e-money are not significant for cash, and only debit cards only have a significant effect on cash.]]>
<![CDATA[Electronic Based Payment Systems and Economic Growth in Indonesia ]]>
<![CDATA[M Mashabi]]>;
<![CDATA[Wasiaturrahma Wasiaturrahma]]>
<![CDATA[ JIET (Jurnal Ilmu Ekonomi Terapan) Vol. 6 No. 1 (2021) ]]>
Publisher : <![CDATA[Department of Economics, Faculty of Economics and Business, Universitas Airlangga ]]>
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DOI: 10.20473/jiet.v6i1.26287
<![CDATA[This research aims to analyze the effect of electronic payment systems based on credit cards, debit cards, and electronic money, as well as macroeconomic variables namely the money supply (M1), price level, and velocity of money towards real gross domestic product as a proxy for economic growth. The estimation carried out in this journal uses the Vector Error Correction Model (VECM) with period time series data of 2010:1-2018:12. The results of the journal show that doing debit card and electronic money-based transactions has a significant positive effect on economic growth in Indonesia in the long run. Keywords : Electronic payment systems, electronic money, credit cards, debit cards, economic growth, Vector Error Correction Model (VECM) JEL : O470 C320]]>
